WEBVTT - Paris Looks to the Future of AI, DOGE Sniffs Out Treasury 'Irregularities'

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from the heart of

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<v Speaker 1>where innovation, money and power collide in Silicon Valley and beyond.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>Like from New York, I'm Caroline Hyde and I'm Jackie

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<v Speaker 2>Devalas in San Francisco. This is Bloomberg Technology coming up.

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<v Speaker 3>Government and tech leaders descend on Paris for the AI Summit,

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<v Speaker 3>as French President Macron touts the country's very own stargates.

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<v Speaker 3>Plus President Trump says Elon Musk's doge may have found

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<v Speaker 3>quote irregularities at the Treasury Department, and China's BYD is

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<v Speaker 3>putting driver assistance features into most of its cause for

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<v Speaker 3>free and plans to integrate software from Deep Seat.

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<v Speaker 4>But first as.

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<v Speaker 3>Checking on the markets, and actually the Nasdaq pushes higher,

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<v Speaker 3>but Tesla is one of the points.

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<v Speaker 4>Contributed to the downside.

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<v Speaker 3>We'll dig into what buyd means for Tesla competition in China.

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<v Speaker 3>We're up one point three percent, and video lending its

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<v Speaker 3>power to the points that move to the higher side.

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<v Speaker 3>We'll dig into the AI track that drives in Vidia higher.

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<v Speaker 3>But move on to a keystock. You've got to watch

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<v Speaker 3>because as a record high and is up sixteen percent

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<v Speaker 3>for sixteen straight days.

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<v Speaker 4>If we see Meta managed.

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<v Speaker 3>To hold onto these rather small gains on today, Jackie,

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<v Speaker 3>it would be sixteen straight days of gains and a

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<v Speaker 3>lot of it is fueled by AI exuberance. For Meta

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<v Speaker 3>Sweet sixteen, we move on to what's happening over in Paris,

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<v Speaker 3>where it's all about AI. Of course, the summit is

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<v Speaker 3>now underway, bringing together almost one hundred countries and over

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<v Speaker 3>one thousand private sector and civil society representatives, including Prime

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<v Speaker 3>Minister of India. We've also got some outment of open

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<v Speaker 3>AI and this as France is said to announce a

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<v Speaker 3>total of one hundred and thirteen billion dollars in investments

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<v Speaker 3>in AI projects in the country. Bloomleg's Tom McKenzie is

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<v Speaker 3>standing by and rather a kin to stargate here in

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<v Speaker 3>the United States. It's about private sector commitments over in France,

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<v Speaker 3>Tom it is.

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<v Speaker 5>And if the fire had not been lit under the

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<v Speaker 5>feet of policymakers in Europe prior to Deep Seek, prior

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<v Speaker 5>to Stargate, then it certainly has been in recent weeks.

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<v Speaker 5>And this is Macwan's response. The President expects to take

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<v Speaker 5>the stage behind me shortly. Currently you've got Cinder Butcher,

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<v Speaker 5>the CEO of course of Alphabet speaking. The commitment from Macaran,

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<v Speaker 5>as you say, around one hundred and nine billion euros

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<v Speaker 5>one hundred and thirteen billion US dollars, is in part

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<v Speaker 5>an answer to stargate. It is also in part an

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<v Speaker 5>answer to the innovation now coming out of China, and

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<v Speaker 5>it's an attempt by France and Europe to position itself

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<v Speaker 5>to close the gap. Macwen's been quite clear about this.

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<v Speaker 5>This is catch up now for Europe. And here's line

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<v Speaker 5>yesterday in an interview of a French newspaper saying we

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<v Speaker 5>need to invest, invest, invest, along without one hundred and

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<v Speaker 5>thirteen billion US dollars. By the way, you also have

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<v Speaker 5>general catalyst plans for about one hundred and fifty billion

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<v Speaker 5>used audiers. They say they could put to play in France,

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<v Speaker 5>in Europe alongside the likes of Mistral and Spotify and

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<v Speaker 5>other investors to drive and build out infrastructure to layer

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<v Speaker 5>as well on top of the industrial sector of Europe.

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<v Speaker 5>That's where they think the opportunity is. But of course,

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<v Speaker 5>key questions around implementation, key questions about regulation, key questions

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<v Speaker 5>about whether or not we have the data the chips

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<v Speaker 5>and the talents to really compete versus the US and China.

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<v Speaker 2>Tom, this is a huge ambitious effort on behalf of

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<v Speaker 2>the Europeans. But I'm curious because they've usually also been

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<v Speaker 2>those to be at the forefront of regulation, something that

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<v Speaker 2>private companies and some investors don't really love. Have you

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<v Speaker 2>gotten any sense from the executives you've spoken to about

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<v Speaker 2>how that balance is playing out right now?

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<v Speaker 5>There that is very much a live debate to what

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<v Speaker 5>extent Europe should regulate when it comes to AI. The

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<v Speaker 5>EUAI Act, it is going to start to take hold

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<v Speaker 5>this year. It will be largely fully implemented by twenty

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<v Speaker 5>twenty six, so that is already the door is already open.

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<v Speaker 5>The horse has already bolted on that front. To what

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<v Speaker 5>extent they can tweet the regulation going forward is a

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<v Speaker 5>question mark. But clearly the divide now between Europe's approach

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<v Speaker 5>and the US approach for President Trump ripping up AI

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<v Speaker 5>regulation is stark. Some would say that having the guard

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<v Speaker 5>rails in place in Europe is at least beneficial. At

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<v Speaker 5>least there is the guard rails in place, at least

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<v Speaker 5>there is a track to followed. You do, of course,

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<v Speaker 5>have a disparate landscape in the US state by state

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<v Speaker 5>that potentially could point pose problems for US AI companies

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<v Speaker 5>trying to navigate the state by state regulation. The other question,

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<v Speaker 5>of course, is to what extent Europe can leverage its

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<v Speaker 5>talent that it's got here, and it does have software

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<v Speaker 5>engineering talent the energy as well. France is a big

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<v Speaker 5>producer of nuclear energy. That's a benefit. We do not

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<v Speaker 5>have semiconductors, we do not have companies like Huawei in

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<v Speaker 5>China on video in the US, so that remains a challenge.

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<v Speaker 5>But they're hoping that at the end of this summer

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<v Speaker 5>they come through with a proposal, they can meet some

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<v Speaker 5>of the challenges and really get to grips on the

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<v Speaker 5>implementation of this.

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<v Speaker 2>That's Bloomberg's Tom mackenzie.

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<v Speaker 4>Thank you.

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<v Speaker 2>Here's something that came out of one of Tom's interviews

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<v Speaker 2>at the Paris I Summit earlier today. The head of

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<v Speaker 2>Google's Deep Mind, Demasisabus, questioning the notion that China's Deep

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<v Speaker 2>Seek actually spent less than six million dollars to develop

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<v Speaker 2>its aisystem.

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<v Speaker 6>The first thing to say is it's a very impressive model,

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<v Speaker 6>or very impressive piece of work. I think the team

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<v Speaker 6>is probably the best team that I've seen come out

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<v Speaker 6>of China. So that said, I think a lot of

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<v Speaker 6>the claims are exaggerated and a little bit misleading.

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<v Speaker 3>Let's bring in RBC Capital Markets Internet analyst Brad Ericson

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<v Speaker 3>for more on the AI landscape, on the race, so

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<v Speaker 3>called race between US and China, and Brad, when you

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<v Speaker 3>hear of deep Sea, you know, it seems as though

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<v Speaker 3>people are questioning the overall amount. Therefore, do you like

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<v Speaker 3>Amazon committing to one hundred billion dollars to Microsoft more

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<v Speaker 3>than eighty and similar coming out of Meta for example.

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<v Speaker 7>Yeah, I think for the moment, they have the revenue

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<v Speaker 7>growth to support those investments. I think people are right

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<v Speaker 7>to question the long term return on invested capital equation there,

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<v Speaker 7>which is really where the debate has shifted. But I

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<v Speaker 7>think for the moment, again, we're in this moment where

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<v Speaker 7>we don't know how big this technology can become, and

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<v Speaker 7>so I think we lean on those statements such as

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<v Speaker 7>the risk of underinvestment is far greater than the risk

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<v Speaker 7>of overinvestment.

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<v Speaker 8>I do think that's kind of the prudent way for

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<v Speaker 8>these companies to be treating this for the time being.

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<v Speaker 3>And look, investors have thus far given them a pass.

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<v Speaker 3>Look at Meta shares extraordinary sixteen day run to the

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<v Speaker 3>higher side. Many would say that the open source commitment

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<v Speaker 3>from Meta has been speaking to their large language model operation,

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<v Speaker 3>the commitment to leaning into AI, even as of course

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<v Speaker 3>they're announcing who's going to be hit by the job

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<v Speaker 3>cuts today. Just talk to us about some of the

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<v Speaker 3>thesis around Meta outperforming the other big tech players here.

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<v Speaker 8>Yeah, sixteen game hitting streak is pretty impressive.

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<v Speaker 7>I would say Meta has kind of the two key

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<v Speaker 7>things going for it right now. One, they have arguably

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<v Speaker 7>the greatest amount of revenue coverage.

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<v Speaker 8>It's what we call it.

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<v Speaker 7>So again, just when you look at the marginal revenues

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<v Speaker 7>they're adding, they just did twenty seven billion dollars a

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<v Speaker 7>year over year in twenty twenty four. That's plenty of

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<v Speaker 7>extra revenue dollars to cover the depreciation that's coming into

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<v Speaker 7>the model from the capex spen. So that's the first part.

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<v Speaker 7>The second part is they just have a heck of

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<v Speaker 7>a great narrative on all the ways that AI could

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<v Speaker 7>affect their products, both now and in the future. And

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<v Speaker 7>so I think the market is what the market's telling

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<v Speaker 7>you right now is they really believe in Meta's strategy

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<v Speaker 7>and really AI giving it the most torque.

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<v Speaker 8>To the upside in the future for.

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<v Speaker 2>This model, Brad, I want to talk about open source

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<v Speaker 2>technology now that we're on the topic of Meta, because

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<v Speaker 2>in your note you actually highlight startups desire to want

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<v Speaker 2>to build more N specific applications on top of already

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<v Speaker 2>existing AI and I'm curious how that shift is better

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<v Speaker 2>for investors. Are open source companies better position than closed

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<v Speaker 2>source companies like open AI for example.

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<v Speaker 7>You know, I think there's a debate as to whether

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<v Speaker 7>the closed source guys actually do decide to open things

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<v Speaker 7>up because it could to the improvement of their models

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<v Speaker 7>or the improvement of their distribution over time.

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<v Speaker 8>Clearly, you know Meta's open source strategy. I don't want

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<v Speaker 8>to call it a wolf in sheep's clothing.

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<v Speaker 7>But there is an aspect where they're looking to leverage

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<v Speaker 7>sort of developer intel of the world to be able

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<v Speaker 7>to then potentially pull in those innovations in the model

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<v Speaker 7>and then use them for internal purposes which would never

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<v Speaker 7>see the light of day, and that benefits their products

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<v Speaker 7>longer term. So I do think, you know that's that's

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<v Speaker 7>definitely a part of their strategy and frankly, that's really

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<v Speaker 7>smart from our perspective. So that's that's I think, you know,

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<v Speaker 7>at this point, I think that's how they are leveraging

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<v Speaker 7>open source so well. And again, like I said earlier,

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<v Speaker 7>the market is really buying into that thesis right now.

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<v Speaker 2>One of the other things that we're looking closely at

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<v Speaker 2>today is of course the Paris AI Summit, and we've

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<v Speaker 2>had a few of these summits over the last couple

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<v Speaker 2>of years, ever since child GBT hit the scene. But

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<v Speaker 2>I'm curious as an investor if anything that comes out

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<v Speaker 2>of that really affects your long term thesis, because we

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<v Speaker 2>are talking about big sums of money being poured into

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<v Speaker 2>this space now from the Europeans.

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<v Speaker 8>Yeah.

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<v Speaker 7>Absolutely, It's kind of funny how this is following the

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<v Speaker 7>history of tech right US innovates, China replicates, and Europe regulates.

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<v Speaker 7>Is kind of the famous saying there. Yeah, I mean,

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<v Speaker 7>certainly from a sovereign AI perspective, I think countries recognized

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<v Speaker 7>there's a huge opportunity to modernize and make better use

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<v Speaker 7>of the treasure tropes of data they all have. On

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<v Speaker 7>the flip side, of course, there's a civil society impact here.

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<v Speaker 8>What does it do to jobs? Does it make people

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<v Speaker 8>more productive or does it just straight up take.

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<v Speaker 7>Jobs from and and remove or dislocate industries in an

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<v Speaker 7>adverse way for you know, macroeconomies.

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<v Speaker 8>Those are giant.

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<v Speaker 7>Questions right that are that are certainly being discussed there.

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<v Speaker 7>But I think from this point, you know, our perspective,

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<v Speaker 7>our seat, where we're covering.

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<v Speaker 8>These these Internet names.

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<v Speaker 7>They're making all the investments to push you know, the

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<v Speaker 7>industry and frankly the world forward this with this innovation.

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<v Speaker 8>We have to be behind that at this.

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<v Speaker 3>Point, and you get the infiltration across not only the

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<v Speaker 3>large language model makers but those that adopt general to AI.

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<v Speaker 3>Just think of pinterest numbers last week and how generative

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<v Speaker 3>AI is fed into that story. We get the news

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<v Speaker 3>today from other sources that LIFT is going to be

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<v Speaker 3>eyeing robotaxes as soon as twenty twenty six. Where are

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<v Speaker 3>the level of Internet names that we haven't yet factored in,

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<v Speaker 3>where GENAI is going to really be reaching forward in

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<v Speaker 3>terms of their earnings and revenues.

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<v Speaker 7>Yeah, I think you know, certainly autonomous vehicles you hear

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<v Speaker 7>about particularly around synthetic data, so that's being able to

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<v Speaker 7>take for instance, real world miles and then model them

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<v Speaker 7>out into other situations that you couldn't possibly capture in testing,

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<v Speaker 7>people driving around and accidents that could come up, just

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<v Speaker 7>as an example. So that obviously benefits we think the

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<v Speaker 7>riot hailing names, and there's going to be others.

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<v Speaker 8>You mentioned.

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<v Speaker 7>Digital ads is kind of one of the best sectors

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<v Speaker 7>where you can apply AI. Web design is another sector

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<v Speaker 7>we've mentioned, So that's companies like Wix and GoDaddy.

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<v Speaker 8>Those companies are making it easier than ever to.

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<v Speaker 7>Go out and start a small business, build a website,

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<v Speaker 7>and grow off of that.

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<v Speaker 8>So those are some of the ones in our coverage.

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<v Speaker 2>We like, Brad, we had some big tariff news coming

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<v Speaker 2>out of Washington today. How does that weigh into how

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<v Speaker 2>you're looking at tech names going forward, especially given all

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<v Speaker 2>this talk about AI infrastructure, which will require perhaps some

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<v Speaker 2>of these critical materials.

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<v Speaker 7>Yeah, I mean, I think we'll reserve judgment on what

0:11:56.920 --> 0:11:59.680
<v Speaker 7>the ultimate outcomes of those are given what we've seen

0:11:59.679 --> 0:12:03.920
<v Speaker 7>over the past a few weeks, but I think the

0:12:04.240 --> 0:12:08.520
<v Speaker 7>the impact would align with what the macro impact would be,

0:12:08.559 --> 0:12:11.280
<v Speaker 7>which is if you raise costs, certainly that's probably not

0:12:11.320 --> 0:12:13.720
<v Speaker 7>going to be a good thing for these companies. That

0:12:13.760 --> 0:12:16.920
<v Speaker 7>are building out, certainly Meta, Amazon and Google being the

0:12:17.000 --> 0:12:20.560
<v Speaker 7>three kind of you know, biggest brick layers in this industry.

0:12:21.559 --> 0:12:24.319
<v Speaker 3>I'll be see Capital Markets Internet analyst Brad Erickson.

0:12:24.440 --> 0:12:26.920
<v Speaker 4>Great to get some time with you. Thanks coming up.

0:12:27.480 --> 0:12:31.040
<v Speaker 3>Those may have found irregularities and the Treasury Department that's

0:12:31.040 --> 0:12:32.120
<v Speaker 3>acording to President Trump.

0:12:32.360 --> 0:12:32.720
<v Speaker 9>More on that.

0:12:32.800 --> 0:12:34.199
<v Speaker 4>Next is blue meg technology.

0:12:46.520 --> 0:12:47.480
<v Speaker 8>There could be a problem.

0:12:47.520 --> 0:12:51.000
<v Speaker 10>You've been reading about that with treasuries, and that could

0:12:51.000 --> 0:12:54.160
<v Speaker 10>be an interesting problem because it could be that a

0:12:54.200 --> 0:12:57.120
<v Speaker 10>lot of those things don't count with other words, but

0:12:57.280 --> 0:13:01.800
<v Speaker 10>some of that stuff that we're finding is very fraudulent. Therefore,

0:13:01.880 --> 0:13:03.800
<v Speaker 10>maybe we have less debt than we thought of.

0:13:03.960 --> 0:13:06.160
<v Speaker 8>Think of that.

0:13:06.160 --> 0:13:08.839
<v Speaker 2>That was President Trump speaking an Air Force One ahead

0:13:08.840 --> 0:13:12.400
<v Speaker 2>of yesterday's Super Bowl attendant saying Elon Musk's doze may

0:13:12.400 --> 0:13:16.640
<v Speaker 2>have found irregularities at the Treasury Department. For more, Bloomberg's

0:13:16.640 --> 0:13:19.160
<v Speaker 2>Mike Shepherd joins us. Now, Mike, what do we know

0:13:19.400 --> 0:13:22.840
<v Speaker 2>about what exactly Trump was referring to and what the

0:13:22.840 --> 0:13:25.400
<v Speaker 2>potential implications could be on the treasury market.

0:13:26.679 --> 0:13:29.280
<v Speaker 11>Well, this is one of the great mysteries that emerged

0:13:29.360 --> 0:13:34.040
<v Speaker 11>from that Air Force One conversation with reporters. He raised

0:13:34.040 --> 0:13:38.200
<v Speaker 11>the prospect of irregularity somewhere in the Treasury Department, but

0:13:38.360 --> 0:13:42.880
<v Speaker 11>offered no specifics, nor have we heard from the cost

0:13:42.920 --> 0:13:47.720
<v Speaker 11>cutting team over at Treasury now that's being led by DOZE,

0:13:48.240 --> 0:13:52.920
<v Speaker 11>by executives from this US digital service that DOZE.

0:13:52.679 --> 0:13:53.360
<v Speaker 12>Is working with.

0:13:53.600 --> 0:13:56.320
<v Speaker 11>We don't know what they're referring to as a government contracts.

0:13:56.440 --> 0:13:59.720
<v Speaker 11>Is it excessive spending within the Treasury Department on certain

0:13:59.760 --> 0:14:03.760
<v Speaker 11>cons and we don't know even whether it refers to

0:14:03.960 --> 0:14:08.880
<v Speaker 11>the Treasury's market itself the way the President was discussing

0:14:09.000 --> 0:14:11.560
<v Speaker 11>in that moment. We do know that Scott Bessant, the

0:14:11.960 --> 0:14:15.280
<v Speaker 11>Treasury Secretary, sought during his interview with our colleague Salaiah

0:14:15.320 --> 0:14:20.120
<v Speaker 11>mosen to are for reassurances that everything would be normal

0:14:20.240 --> 0:14:25.000
<v Speaker 11>operationally at Treasury despite whatever Doge might be doing.

0:14:25.640 --> 0:14:28.960
<v Speaker 3>And how much Doge can do when well judge his

0:14:29.040 --> 0:14:31.280
<v Speaker 3>way in and try and halt some of the activity

0:14:31.400 --> 0:14:34.720
<v Speaker 3>is a question mark, Mike, so too, is well laying

0:14:34.800 --> 0:14:36.640
<v Speaker 3>back some of the operations.

0:14:36.120 --> 0:14:36.680
<v Speaker 4>Of other units.

0:14:36.680 --> 0:14:39.120
<v Speaker 3>I'm thinking about the Consumer Financial Protection Bureau seems to

0:14:39.160 --> 0:14:40.520
<v Speaker 3>me now skeletal too.

0:14:41.520 --> 0:14:43.720
<v Speaker 11>Well, that's right, Karen, that is one of the latest

0:14:43.720 --> 0:14:48.440
<v Speaker 11>targets of this cost cutting initiative sweeping through the government.

0:14:49.080 --> 0:14:52.640
<v Speaker 11>DOGE is going really agency by agency, and the Consumer

0:14:52.720 --> 0:14:58.320
<v Speaker 11>Financial Protection Bureau was the latest target over the weekend. Essentially,

0:14:58.360 --> 0:15:01.560
<v Speaker 11>they have shuddered operation. Employees have been told not to

0:15:01.600 --> 0:15:02.720
<v Speaker 11>come into the office.

0:15:02.840 --> 0:15:03.920
<v Speaker 9>And of course this does.

0:15:03.800 --> 0:15:08.400
<v Speaker 11>Coincide with Elon Musk's own efforts to turn x into

0:15:08.720 --> 0:15:13.360
<v Speaker 11>a one platform for all different types of services, not

0:15:13.640 --> 0:15:17.520
<v Speaker 11>just social media and communication, but also turn into a

0:15:17.600 --> 0:15:20.360
<v Speaker 11>place where you could do transactions financially.

0:15:20.680 --> 0:15:22.440
<v Speaker 9>Now, the Doze.

0:15:22.720 --> 0:15:26.440
<v Speaker 11>Team over at CFPP has gotten access to some sensitive

0:15:26.520 --> 0:15:31.040
<v Speaker 11>data our reporting has shown, including bank examination records and

0:15:31.160 --> 0:15:37.160
<v Speaker 11>other information that is closely guarded that's very sensitive. Of course,

0:15:37.280 --> 0:15:42.080
<v Speaker 11>the Consumer Financial Protection Fewer does scrutinize banks and other

0:15:42.600 --> 0:15:46.200
<v Speaker 11>financial services companies for the way that they interact and

0:15:46.360 --> 0:15:50.400
<v Speaker 11>intersect with consumers. And this agency exists, as its name

0:15:50.440 --> 0:15:53.520
<v Speaker 11>would suggest, to protect consumers. You know, there are other

0:15:53.560 --> 0:15:55.920
<v Speaker 11>financial regulators, but this is the one that is really

0:15:56.000 --> 0:15:59.360
<v Speaker 11>geared to look out for the average American and it

0:15:59.440 --> 0:16:03.840
<v Speaker 11>is returned since its inception in twenty eleven, roughly twenty

0:16:03.880 --> 0:16:08.520
<v Speaker 11>one billion dollars in improper payments or improper charges back

0:16:08.560 --> 0:16:12.600
<v Speaker 11>to consumers from these institutions.

0:16:12.320 --> 0:16:14.560
<v Speaker 4>Megs, Mike Shepard, thanks for all of that.

0:16:14.840 --> 0:16:17.560
<v Speaker 3>Meanwhile, Doge gaining a key ally we understand at the

0:16:17.640 --> 0:16:21.240
<v Speaker 3>US Treasury with veteran tech employee Tom Krause, who has

0:16:21.280 --> 0:16:23.760
<v Speaker 3>been appointed a special Government employee and will serve as

0:16:23.800 --> 0:16:26.920
<v Speaker 3>Fiscal Assistant Secretary at the Treasury. But he's also the

0:16:26.960 --> 0:16:30.920
<v Speaker 3>CEO of Cloud Software Group, which saw deep cost cuts

0:16:30.960 --> 0:16:32.120
<v Speaker 3>at Citric Systems.

0:16:32.360 --> 0:16:33.960
<v Speaker 4>For Marburne, Megs, Jordan and Robertson.

0:16:34.280 --> 0:16:36.880
<v Speaker 3>And it is such a deep dive that you do

0:16:36.920 --> 0:16:39.520
<v Speaker 3>with colleagues here, Jordan, just talk us through who Tom

0:16:39.600 --> 0:16:41.920
<v Speaker 3>Krause is and why we're worried about the deep cuts

0:16:41.920 --> 0:16:43.000
<v Speaker 3>he's done in the private sector.

0:16:44.400 --> 0:16:45.280
<v Speaker 9>Yeah, thanks for having me.

0:16:45.400 --> 0:16:48.280
<v Speaker 13>So we're learning more information about Tom Krause, you know,

0:16:48.400 --> 0:16:52.320
<v Speaker 13>the Doge pick Elon Musk's Doge pick at Treasury. As

0:16:52.400 --> 0:16:55.560
<v Speaker 13>you mentioned, he currently holds two jobs, one at Treasury

0:16:55.600 --> 0:16:59.200
<v Speaker 13>and one as CEO of Cloud Software Group. Cloud Software

0:16:59.240 --> 0:17:03.040
<v Speaker 13>Group was formerly known as Citric Systems. That company got

0:17:03.040 --> 0:17:06.359
<v Speaker 13>acquired for sixteen point five billion dollars in a private

0:17:06.359 --> 0:17:09.400
<v Speaker 13>equity leveraged buyout in twenty twenty two. And what we've

0:17:09.400 --> 0:17:12.280
<v Speaker 13>done is we've taken a look at a series of

0:17:12.320 --> 0:17:16.959
<v Speaker 13>pretty significant cost cuts that Kraus enacted at Cloud Software

0:17:17.000 --> 0:17:18.840
<v Speaker 13>Group over the last two two and a half years,

0:17:19.000 --> 0:17:21.959
<v Speaker 13>and in particular the impact of those cuts on the

0:17:22.000 --> 0:17:26.000
<v Speaker 13>security of Citrix products. There's a family of Citrix products

0:17:26.000 --> 0:17:29.080
<v Speaker 13>called NetScaler. These are security appliances that have been at

0:17:29.080 --> 0:17:32.560
<v Speaker 13>the center of a number of major hacks in recent years.

0:17:32.800 --> 0:17:35.480
<v Speaker 13>And what we looked at was to try to quantify

0:17:35.640 --> 0:17:37.760
<v Speaker 13>the level and the extent of the cuts to the

0:17:37.760 --> 0:17:42.440
<v Speaker 13>security department at Citrix and any impact to the security

0:17:42.520 --> 0:17:45.320
<v Speaker 13>of those appliances. And what we found was that the

0:17:45.320 --> 0:17:48.600
<v Speaker 13>cuts were very deep, indeed across the company, including the

0:17:48.600 --> 0:17:51.919
<v Speaker 13>security department, and that this in fact may be why

0:17:52.280 --> 0:17:55.600
<v Speaker 13>Kraus was selected by Musk's doge.

0:17:55.080 --> 0:17:57.120
<v Speaker 9>As for this Treasury role.

0:17:57.240 --> 0:18:00.199
<v Speaker 13>His background is cost cutting, His background is all so

0:18:00.280 --> 0:18:04.480
<v Speaker 13>according to the sources we've spoken with, running incredibly profitable companies,

0:18:04.600 --> 0:18:06.040
<v Speaker 13>you know, this is his specialty.

0:18:07.320 --> 0:18:12.320
<v Speaker 2>Jordan, your reporting raises an important question about employing private

0:18:12.320 --> 0:18:15.560
<v Speaker 2>equity tactics, this cost cutting that you're talking about in

0:18:15.680 --> 0:18:18.560
<v Speaker 2>sensitive sectors. So now kind of take that into the

0:18:18.560 --> 0:18:23.040
<v Speaker 2>government in Washington, where cross now has more influence. What

0:18:23.200 --> 0:18:27.080
<v Speaker 2>has the agency said the Treasury Department as well as

0:18:27.119 --> 0:18:29.520
<v Speaker 2>maybe even the company he's still employed by, which I

0:18:29.640 --> 0:18:30.720
<v Speaker 2>found super surprising.

0:18:32.040 --> 0:18:34.640
<v Speaker 13>Yeah, the Treasury Department says things are you know, operating

0:18:34.680 --> 0:18:37.560
<v Speaker 13>normally while the DOGE team kind of conducts its work,

0:18:38.000 --> 0:18:40.720
<v Speaker 13>you know, over the weekend, Krouse, you know, and other

0:18:40.840 --> 0:18:45.840
<v Speaker 13>DOGE staffers were you know temporarily stopped from accessing data

0:18:46.040 --> 0:18:46.960
<v Speaker 13>and using the data.

0:18:47.560 --> 0:18:47.720
<v Speaker 10>You know.

0:18:47.800 --> 0:18:48.920
<v Speaker 9>However, you know, what.

0:18:48.840 --> 0:18:52.119
<v Speaker 13>The reporting finds is that, you know, this is a strategy,

0:18:52.160 --> 0:18:55.800
<v Speaker 13>a very time honored strategy among private equity companies to

0:18:56.040 --> 0:18:57.960
<v Speaker 13>you know, kind of load up companies with debt, buy

0:18:58.000 --> 0:19:00.600
<v Speaker 13>them with lots of debt. You have to then cut

0:19:00.640 --> 0:19:03.760
<v Speaker 13>lots of costs in order to repay that debt. And

0:19:03.880 --> 0:19:05.879
<v Speaker 13>you know, in terms of the potential impact in the

0:19:05.880 --> 0:19:08.159
<v Speaker 13>federal government, it really depends who you talk to. You know,

0:19:08.200 --> 0:19:10.600
<v Speaker 13>we've spoken to folks and we've included their commentary in

0:19:10.640 --> 0:19:13.400
<v Speaker 13>our story. You know that think that ultimately cross could

0:19:13.400 --> 0:19:15.680
<v Speaker 13>be really a positive thing for the government in terms

0:19:15.760 --> 0:19:19.280
<v Speaker 13>of you know, really aggressively slashing expenses and finding ways

0:19:19.320 --> 0:19:22.280
<v Speaker 13>to be more efficient. We've also spoken to other you know,

0:19:22.359 --> 0:19:26.760
<v Speaker 13>industry experts, security experts, government experts who say that applying

0:19:26.760 --> 0:19:30.120
<v Speaker 13>a private equity approach to government, you know, could potentially

0:19:30.160 --> 0:19:33.959
<v Speaker 13>have very very serious and very unexpected consequences, especially when

0:19:33.960 --> 0:19:37.080
<v Speaker 13>you're talking about cutting not just thousands of employees that

0:19:37.119 --> 0:19:40.719
<v Speaker 13>were cut at Citrix, but potentially tens of thousands, hundreds

0:19:40.720 --> 0:19:41.960
<v Speaker 13>of thousands or more.

0:19:42.520 --> 0:19:55.360
<v Speaker 2>That's Bloomberg, Jordan Robinson, thanks for joining us Tesla Challenger.

0:19:55.400 --> 0:19:59.080
<v Speaker 2>BYD plans to integrate software from deep Seek and is

0:19:59.119 --> 0:20:03.000
<v Speaker 2>also offering you driver assistance features in almost all future

0:20:03.040 --> 0:20:06.520
<v Speaker 2>models at no additional cost to buyers. Let's bring in

0:20:06.520 --> 0:20:07.560
<v Speaker 2>Bloomberg's Craig.

0:20:07.440 --> 0:20:08.320
<v Speaker 9>Triudell for more.

0:20:08.640 --> 0:20:10.840
<v Speaker 2>Craig, before we get into some of these new features,

0:20:11.240 --> 0:20:14.120
<v Speaker 2>what do we know about how by D is incorporating

0:20:14.119 --> 0:20:15.680
<v Speaker 2>this new Deep Seek technology.

0:20:17.119 --> 0:20:19.840
<v Speaker 14>Yeah, it's still a little bit unclear how exactly this

0:20:19.960 --> 0:20:23.480
<v Speaker 14>is going to work, but there is some support here.

0:20:23.480 --> 0:20:26.879
<v Speaker 14>And I think the combination of two names that you know,

0:20:26.920 --> 0:20:28.800
<v Speaker 14>it's hard to kind of think of of two that

0:20:28.840 --> 0:20:32.160
<v Speaker 14>are any bigger in the tech and auto spaces. I mean,

0:20:32.560 --> 0:20:35.000
<v Speaker 14>a deep Seek very much as sort of come lately name,

0:20:35.520 --> 0:20:37.800
<v Speaker 14>whereas by D I feel like has been you know,

0:20:37.880 --> 0:20:39.960
<v Speaker 14>the last few years, just the sort of talk of

0:20:39.960 --> 0:20:42.879
<v Speaker 14>the auto industry in terms of how quickly they've grown

0:20:43.119 --> 0:20:46.400
<v Speaker 14>and and you know just how big of ambitions they have,

0:20:46.960 --> 0:20:49.120
<v Speaker 14>and you know, the one knock that they've they've maybe

0:20:49.119 --> 0:20:52.000
<v Speaker 14>had against them is they don't necessarily bring a ton

0:20:52.200 --> 0:20:56.000
<v Speaker 14>of you know, driver assistance technology to the table. They're

0:20:56.000 --> 0:20:58.159
<v Speaker 14>trying to address that and also do so in a

0:20:58.160 --> 0:21:00.760
<v Speaker 14>way that you know, is very sort of consistent with

0:21:00.760 --> 0:21:03.480
<v Speaker 14>what their approach has been just to the industry in general,

0:21:03.560 --> 0:21:06.200
<v Speaker 14>which is you know, really aggressive pricing.

0:21:06.240 --> 0:21:08.840
<v Speaker 3>Really aggressive rampop in it shares. Recently, we're just showing

0:21:08.880 --> 0:21:10.840
<v Speaker 3>a chart. It's up more than twenty percent over the

0:21:10.920 --> 0:21:12.000
<v Speaker 3>last four training days.

0:21:12.000 --> 0:21:12.280
<v Speaker 4>Craig.

0:21:12.760 --> 0:21:16.720
<v Speaker 3>So, what is it about this cheaper autonomous option.

0:21:16.520 --> 0:21:18.840
<v Speaker 4>That is just leaving competitors for dust? It must be

0:21:18.840 --> 0:21:19.840
<v Speaker 4>a big pash for Tesla.

0:21:21.200 --> 0:21:23.239
<v Speaker 14>Yeah, I mean, I think that's a big part of it.

0:21:23.359 --> 0:21:26.159
<v Speaker 14>When when you sort of measure BYD up against you know,

0:21:26.240 --> 0:21:29.640
<v Speaker 14>a Tesla or some of the you know EV startups

0:21:29.480 --> 0:21:32.160
<v Speaker 14>in China that you know have really kind of leaned

0:21:32.200 --> 0:21:36.560
<v Speaker 14>into driver assistance technology, you know, BYD hasn't really had

0:21:36.720 --> 0:21:39.840
<v Speaker 14>you know, as much to offer there, and so there's

0:21:39.880 --> 0:21:42.320
<v Speaker 14>been a sort of you know a knock against the

0:21:42.640 --> 0:21:45.880
<v Speaker 14>the you know BYD offerings that you know, well, if

0:21:45.960 --> 0:21:47.680
<v Speaker 14>you're going to have to kind of settle right, you're

0:21:47.800 --> 0:21:49.480
<v Speaker 14>you're not going to be able to have the sort

0:21:49.520 --> 0:21:53.040
<v Speaker 14>of latest and greatest in lane keeping or what have you.

0:21:53.400 --> 0:21:55.239
<v Speaker 14>And so I think there was a real sort of

0:21:55.720 --> 0:21:58.960
<v Speaker 14>opportunity for BYD to kind of address that in a

0:21:59.000 --> 0:22:01.800
<v Speaker 14>more aggressive way. And you know, you mentioned that they

0:22:01.920 --> 0:22:03.560
<v Speaker 14>run up in the stock. All it took was a

0:22:03.680 --> 0:22:06.119
<v Speaker 14>sort of you know, invite of an event, and it

0:22:06.200 --> 0:22:09.239
<v Speaker 14>was sort of reminiscent of how you know, Tesla over

0:22:09.280 --> 0:22:12.120
<v Speaker 14>the years has been able to get investors really excited

0:22:12.200 --> 0:22:14.200
<v Speaker 14>just by you know, setting a data on the calendar

0:22:14.200 --> 0:22:17.159
<v Speaker 14>for a big product event that they you know, they

0:22:17.200 --> 0:22:18.080
<v Speaker 14>have something to share.

0:22:18.560 --> 0:22:29.720
<v Speaker 3>Bloomberg's Cratydell, thanks so much, Welcome back to Bloomberg Technology

0:22:29.760 --> 0:22:31.040
<v Speaker 3>and Caroline Hide in New York.

0:22:31.440 --> 0:22:33.200
<v Speaker 2>And I'm Jackie Devalas in San Francisco.

0:22:33.320 --> 0:22:36.160
<v Speaker 3>Quick check on these markets, Jackie, because look, we managed

0:22:36.160 --> 0:22:38.800
<v Speaker 3>to shake off the latest geopolitical acts, those towers coming

0:22:38.840 --> 0:22:41.840
<v Speaker 3>on aluminium and steel coming from President Trump, not managing

0:22:41.840 --> 0:22:43.440
<v Speaker 3>to contail some of the money on that we're seeing

0:22:43.440 --> 0:22:45.040
<v Speaker 3>in then as that one hundred, we're up one and

0:22:45.080 --> 0:22:48.720
<v Speaker 3>a quarter percent. What leads us on a points perspective, Synvidia,

0:22:48.880 --> 0:22:50.879
<v Speaker 3>we managed to claw back some of that sell off

0:22:50.920 --> 0:22:53.680
<v Speaker 3>from Deep Seat. We're about halfway there. It gains another

0:22:53.680 --> 0:22:55.560
<v Speaker 3>two point eight percent on the day. The biggest points

0:22:55.600 --> 0:22:58.440
<v Speaker 3>contributed to the upside maybe feed across from what's happening

0:22:58.480 --> 0:23:02.879
<v Speaker 3>in TSMC and Honheim TSMC, even despite that earthquake, not

0:23:02.920 --> 0:23:05.760
<v Speaker 3>to production, standing by their forecast for the first quarter

0:23:05.800 --> 0:23:08.720
<v Speaker 3>and the full year and committing to AI investment. That

0:23:08.840 --> 0:23:11.440
<v Speaker 3>of course helps the signals for nvideo. So TWU does

0:23:11.480 --> 0:23:14.960
<v Speaker 3>hon Hi at server Maker also showing resiliency there. So

0:23:15.119 --> 0:23:18.359
<v Speaker 3>all about AI today and more on how indeed companies

0:23:18.400 --> 0:23:22.040
<v Speaker 3>and governments are approaching AI safely. Let's go back to

0:23:22.080 --> 0:23:25.879
<v Speaker 3>Paris imst Tom McKenzie standing by the CEO of German

0:23:26.000 --> 0:23:31.000
<v Speaker 3>startup at left Alpha, Caroline.

0:23:31.040 --> 0:23:32.719
<v Speaker 5>Yes, thank you, very pleased to say. I'm joined by

0:23:32.720 --> 0:23:35.040
<v Speaker 5>the CEO and the founder of Alaf Alpha, one of

0:23:35.080 --> 0:23:37.879
<v Speaker 5>the leading AI startups of course in Europe coming out

0:23:37.920 --> 0:23:40.240
<v Speaker 5>of Germany were a focus on sovereignty and on enterprise.

0:23:40.320 --> 0:23:43.439
<v Speaker 5>Jonas start with Deep Seek because I've heard from some

0:23:43.600 --> 0:23:46.439
<v Speaker 5>in this room that it's a spartanek moment, echoing what

0:23:46.480 --> 0:23:49.160
<v Speaker 5>we heard from of course Andres and Horowitz anothers saying

0:23:49.160 --> 0:23:50.600
<v Speaker 5>it's a flash in the pan. Where do you stand

0:23:50.640 --> 0:23:51.240
<v Speaker 5>on DeepC.

0:23:52.040 --> 0:23:54.840
<v Speaker 15>Well, first of all, it's basically a continuation of what

0:23:55.119 --> 0:23:58.120
<v Speaker 15>we've been seen for years. Models get better, they're get

0:23:58.160 --> 0:24:02.159
<v Speaker 15>more efficient open sources, Steve. So it's basically a confirmation

0:24:02.280 --> 0:24:04.680
<v Speaker 15>of what we've been positioning ourselves for four years.

0:24:04.720 --> 0:24:06.560
<v Speaker 9>So for us, it's a victory lab. For our customers,

0:24:06.600 --> 0:24:07.480
<v Speaker 9>it's a victory lab.

0:24:07.359 --> 0:24:09.000
<v Speaker 5>More incremental than spotning moment.

0:24:09.240 --> 0:24:12.480
<v Speaker 15>Well, yes, but I mean, of course it's a spotning

0:24:12.480 --> 0:24:16.879
<v Speaker 15>moment also because China is maybe in some regions ahead

0:24:16.880 --> 0:24:18.680
<v Speaker 15>of the US for the very first time. So that's

0:24:18.720 --> 0:24:19.840
<v Speaker 15>certainly that you're.

0:24:19.680 --> 0:24:22.600
<v Speaker 5>Offering it to your clients. Now have you tested it?

0:24:22.680 --> 0:24:25.040
<v Speaker 5>Are you data secure on this? What does the response be?

0:24:25.400 --> 0:24:29.439
<v Speaker 15>Yeah, I mean our strategy is to include open source model, right,

0:24:29.440 --> 0:24:31.120
<v Speaker 15>So we've been doing this with LAMA, We've been doing

0:24:31.119 --> 0:24:33.080
<v Speaker 15>this with our gate models, and we've been doing this

0:24:33.119 --> 0:24:36.879
<v Speaker 15>with DEFCIG and so our customers, our large enterprises and governments.

0:24:37.119 --> 0:24:41.040
<v Speaker 15>So any transformation you're doing for these customers takes years

0:24:41.040 --> 0:24:44.480
<v Speaker 15>and years. So what is today the very best model

0:24:44.520 --> 0:24:47.760
<v Speaker 15>is almost irrelevant. They just need a partner that can

0:24:47.800 --> 0:24:50.960
<v Speaker 15>guarantee that they can leverage the best of open source

0:24:51.280 --> 0:24:53.520
<v Speaker 15>together with innovation they need for their own business.

0:24:53.560 --> 0:24:55.520
<v Speaker 5>You've told me in the past you think large language

0:24:55.520 --> 0:24:58.000
<v Speaker 5>models will end up being commoditized and essentially price will

0:24:58.080 --> 0:25:02.080
<v Speaker 5>drop to zero. Okay, And yet on the stage behind us, Macron,

0:25:02.240 --> 0:25:03.560
<v Speaker 5>the president of France, is going to get up and

0:25:03.560 --> 0:25:05.920
<v Speaker 5>announce one hundred and nine billion euros of investment to

0:25:06.000 --> 0:25:08.720
<v Speaker 5>kind of match stargate in the US. Is that funding

0:25:08.960 --> 0:25:12.120
<v Speaker 5>misspent both in the US and Europe? Is this misaligned?

0:25:12.840 --> 0:25:16.000
<v Speaker 15>So we need funding, We need funding for our companies,

0:25:16.040 --> 0:25:19.159
<v Speaker 15>We need funding for infrastructure. But what I worry is

0:25:19.200 --> 0:25:22.920
<v Speaker 15>that we are getting distracted and putting too much focus

0:25:23.040 --> 0:25:27.080
<v Speaker 15>on infrastructure. Infrastructure is not going to save US. Infrastructure

0:25:27.119 --> 0:25:30.760
<v Speaker 15>investment alone will not solve digital sovereignty.

0:25:31.040 --> 0:25:32.520
<v Speaker 9>What we need is value creation.

0:25:32.600 --> 0:25:37.440
<v Speaker 15>We need innovation, and then the infrastructure comes almost automatically,

0:25:37.600 --> 0:25:39.200
<v Speaker 15>as like a second order factor.

0:25:39.920 --> 0:25:43.399
<v Speaker 5>You pivoted from building out large language models to building

0:25:43.440 --> 0:25:47.280
<v Speaker 5>out generalized AI operating systems, very much focus on the enterprise.

0:25:47.320 --> 0:25:48.560
<v Speaker 5>I know you're going to push back on the word

0:25:48.600 --> 0:25:51.080
<v Speaker 5>pivot here. What does the response been, is you reflect

0:25:51.160 --> 0:25:52.720
<v Speaker 5>back on that, was that the right decision?

0:25:52.760 --> 0:25:53.840
<v Speaker 12>How are your investors.

0:25:53.480 --> 0:25:54.040
<v Speaker 8>Feeling about that?

0:25:54.600 --> 0:25:57.919
<v Speaker 15>So deep seek For our investors, they were having a

0:25:57.960 --> 0:26:02.320
<v Speaker 15>party because there's this precisely what we've been positioning ourselves for.

0:26:02.720 --> 0:26:05.600
<v Speaker 15>We can solve the general purpose task like writing a

0:26:05.600 --> 0:26:08.800
<v Speaker 15>poem for your mother's birthday, or like email replies. Our

0:26:08.840 --> 0:26:11.040
<v Speaker 15>customers can solve that with the best of the best

0:26:11.040 --> 0:26:14.640
<v Speaker 15>of open source models. But one thing all the customers

0:26:14.680 --> 0:26:17.320
<v Speaker 15>have in common is that the things that are really

0:26:17.400 --> 0:26:23.879
<v Speaker 15>valuable they care about, like compliance workflows, government workflows, manufacturing requirements, engineering,

0:26:24.480 --> 0:26:27.199
<v Speaker 15>all these open source models can't do it. So we

0:26:27.240 --> 0:26:30.360
<v Speaker 15>are adding our own innovation to solve that and everybody's winning.

0:26:30.400 --> 0:26:32.520
<v Speaker 5>We'll start doing for revenues at alf alpha, what do

0:26:32.560 --> 0:26:33.919
<v Speaker 5>they come in at it twenty twenty four? What's your

0:26:33.960 --> 0:26:34.760
<v Speaker 5>target for this year?

0:26:35.040 --> 0:26:36.440
<v Speaker 15>So I'm not going to tell you my target, but

0:26:36.480 --> 0:26:38.200
<v Speaker 15>I'm going to tell you that we just recently signed

0:26:38.200 --> 0:26:42.360
<v Speaker 15>a nineteen million contract with the German Labor Agency Work

0:26:42.400 --> 0:26:45.879
<v Speaker 15>Work Agency, Employment Agency. So these are the kind of

0:26:45.920 --> 0:26:49.840
<v Speaker 15>contracts we're currently signing, and I think that is numbers

0:26:49.840 --> 0:26:51.000
<v Speaker 15>worth getting out of the bed.

0:26:50.880 --> 0:26:54.639
<v Speaker 5>For your German starts up. Elon Musk is meddling. So

0:26:54.640 --> 0:26:57.680
<v Speaker 5>some would say in German politics. What lessons do you

0:26:58.440 --> 0:27:02.120
<v Speaker 5>take from that Elon Musk supporting the AfD in Germany,

0:27:02.160 --> 0:27:03.159
<v Speaker 5>a right wing party.

0:27:04.119 --> 0:27:07.280
<v Speaker 15>I mean, to be fair, we've been meddling in US

0:27:07.359 --> 0:27:10.640
<v Speaker 15>elections as well, right, so it's like a well, I mean,

0:27:11.320 --> 0:27:15.080
<v Speaker 15>some German politicians have been very vocal about their preference.

0:27:14.880 --> 0:27:18.000
<v Speaker 5>Nothing for this. Come on, I mean, what does it?

0:27:18.119 --> 0:27:21.639
<v Speaker 5>Does It underscore your design to have sovereign AI. You

0:27:21.640 --> 0:27:25.240
<v Speaker 5>have a tech mogul interfering in German politics.

0:27:25.359 --> 0:27:28.200
<v Speaker 15>So I don't like it, right, but I think there's

0:27:28.200 --> 0:27:30.359
<v Speaker 15>nothing really we can do about it right now. The

0:27:30.480 --> 0:27:34.920
<v Speaker 15>US are still our partners, are still our friends, and

0:27:34.960 --> 0:27:38.360
<v Speaker 15>we need to find a solution together with the democratic countries,

0:27:38.400 --> 0:27:40.720
<v Speaker 15>together with our partners open AI.

0:27:40.760 --> 0:27:43.600
<v Speaker 5>We're talking to me earlier and they said, the two

0:27:43.640 --> 0:27:46.960
<v Speaker 5>leaders in AI are the US and the CCP, the

0:27:46.960 --> 0:27:49.480
<v Speaker 5>Communist Party of China. Do you agree? Does you have

0:27:49.560 --> 0:27:50.360
<v Speaker 5>skin in the game here?

0:27:50.400 --> 0:27:50.680
<v Speaker 4>Really?

0:27:51.560 --> 0:27:55.040
<v Speaker 15>So that's probably correct, But this is not a Serra

0:27:55.119 --> 0:27:57.760
<v Speaker 15>sum game. This is not about who is the first

0:27:57.920 --> 0:27:59.719
<v Speaker 15>and everyone else is empty handled?

0:27:59.800 --> 0:28:00.000
<v Speaker 8>Right?

0:28:00.280 --> 0:28:02.280
<v Speaker 9>We Davost just two weeks ago we.

0:28:02.280 --> 0:28:05.359
<v Speaker 15>Launched for the We have a first team that launched

0:28:05.720 --> 0:28:09.200
<v Speaker 15>an evolution of the transformer architecture, and I talked to

0:28:09.680 --> 0:28:14.080
<v Speaker 15>several research labs, leading research labs US researchers that are

0:28:14.119 --> 0:28:17.080
<v Speaker 15>now starting to look at that. So it's with all

0:28:17.200 --> 0:28:20.560
<v Speaker 15>likelihood the next architecture of the next evolution of the

0:28:20.560 --> 0:28:22.399
<v Speaker 15>transformer is coming out of Europe.

0:28:23.400 --> 0:28:25.000
<v Speaker 5>Do we need to be worried that we can't access

0:28:25.040 --> 0:28:27.200
<v Speaker 5>and we can't build out or in semiconductors. Not only

0:28:27.240 --> 0:28:29.160
<v Speaker 5>do you have a Nvidia and AMD in the US,

0:28:29.200 --> 0:28:32.440
<v Speaker 5>but you also have Amazon Microsoft developing their own semiconductors

0:28:32.480 --> 0:28:34.760
<v Speaker 5>around artificial intelligence. Is that a gap that we need

0:28:34.800 --> 0:28:35.919
<v Speaker 5>to close and how do we do it?

0:28:36.119 --> 0:28:39.360
<v Speaker 15>Well, that's a painful gap, certainly, right. Also the fact

0:28:39.400 --> 0:28:42.959
<v Speaker 15>when you look at the capex the hyperscalers have assembled,

0:28:43.640 --> 0:28:46.440
<v Speaker 15>that's almost so possible to kind of reach the same levels.

0:28:46.760 --> 0:28:50.400
<v Speaker 15>And it's equally unlikely that we'll build a competitor to

0:28:50.480 --> 0:28:53.840
<v Speaker 15>AMD or Nvidia basically with a snip off a finger.

0:28:54.160 --> 0:28:58.480
<v Speaker 15>So that's painful, but it's a reality we have to accept.

0:28:59.560 --> 0:29:02.800
<v Speaker 15>And I think every money that is directed against like

0:29:03.800 --> 0:29:07.440
<v Speaker 15>building a competitor to these jagernauts is wasted money.

0:29:07.520 --> 0:29:09.600
<v Speaker 5>Okay, honest, thank you very much, And DIG always a

0:29:09.600 --> 0:29:11.240
<v Speaker 5>pleasure to speak to you and so and Joyalist of course,

0:29:11.240 --> 0:29:14.600
<v Speaker 5>the CEO and co founder of Alah Alpha, speaking to

0:29:14.640 --> 0:29:17.200
<v Speaker 5>me here at the Gonepalais just ahead of Macrant's speech.

0:29:17.280 --> 0:29:19.560
<v Speaker 5>The president of course of France guys.

0:29:19.240 --> 0:29:22.280
<v Speaker 3>Back to you, Tom McKenzie, Thanks so much. It's time

0:29:22.320 --> 0:29:25.200
<v Speaker 3>now for talking tech. First up, Deep Seek is ramping

0:29:25.280 --> 0:29:30.400
<v Speaker 3>up hiring recruiting specialists for artificial general intelligence roles, data experts, researchers,

0:29:30.400 --> 0:29:33.400
<v Speaker 3>and a legal chief. All this really signaling the Chinese

0:29:33.440 --> 0:29:37.640
<v Speaker 3>AI startup to actually expand ambissions after its stunned markets

0:29:37.640 --> 0:29:40.920
<v Speaker 3>for the cheaper model that was on par with Open Aiyes, plus,

0:29:40.960 --> 0:29:43.920
<v Speaker 3>Apple gets a mandate from the UK. The government has

0:29:44.000 --> 0:29:47.440
<v Speaker 3>ordered Apple to build a backdoor to access global user data.

0:29:47.600 --> 0:29:49.160
<v Speaker 3>It's a move that could spart one of the biggest

0:29:49.200 --> 0:29:52.560
<v Speaker 3>privacy battles for the iPhone maker. In an undisclosed order

0:29:52.600 --> 0:29:56.200
<v Speaker 3>in January, British authorities asked Apple to circumvent encryption news

0:29:56.400 --> 0:29:59.680
<v Speaker 3>to secure user data in its cloud service, and Rivian

0:29:59.800 --> 0:30:02.600
<v Speaker 3>and anounced that it will begin selling its EV trucks

0:30:02.600 --> 0:30:05.560
<v Speaker 3>that we're designed for Amazon to other customers. This is

0:30:05.600 --> 0:30:07.920
<v Speaker 3>an effort to boost revenue as consumer demand for EV

0:30:08.000 --> 0:30:10.760
<v Speaker 3>cars actually slows the commercial vehicles can be purchased by

0:30:10.840 --> 0:30:13.600
<v Speaker 3>fleets for any size, but deliveries slated to begin in

0:30:13.640 --> 0:30:17.920
<v Speaker 3>the second quarter. Meanwhile, we're watching shares of LIFT. Interesting

0:30:17.960 --> 0:30:21.320
<v Speaker 3>reports coming where up some three percent could robotaxis be

0:30:21.360 --> 0:30:23.600
<v Speaker 3>offered by Lift as soon as twenty twenty six. That's

0:30:23.640 --> 0:30:26.760
<v Speaker 3>a report coming from TechCrunch and from an executive inside Lift.

0:30:26.840 --> 0:30:28.840
<v Speaker 4>Jackie coming up.

0:30:29.080 --> 0:30:32.160
<v Speaker 2>Joseph Makett from the Center for Strategic and International Studies

0:30:32.280 --> 0:30:35.280
<v Speaker 2>joins us to talk about how energy demand could impact

0:30:35.360 --> 0:30:37.280
<v Speaker 2>AI growth. This is Bloomberg.

0:30:48.200 --> 0:30:51.640
<v Speaker 3>Nock Here will replace its CEO with Intel's recently appointed

0:30:51.640 --> 0:30:55.040
<v Speaker 3>head of AI, Justin Hotad. The surprise announcement comes as

0:30:55.080 --> 0:30:57.600
<v Speaker 3>nock Here it's the network equipment maker watch the exit

0:30:57.640 --> 0:31:00.720
<v Speaker 3>a prolonged slump in orders from phone operating Now the

0:31:00.720 --> 0:31:03.160
<v Speaker 3>incoming CEO joined Bloomberg Television earlier today.

0:31:03.200 --> 0:31:03.720
<v Speaker 4>Just take a listen.

0:31:05.200 --> 0:31:06.920
<v Speaker 16>My focus coming in though, is going to be to

0:31:06.960 --> 0:31:10.040
<v Speaker 16>spend time with all of our major stakeholders, and one

0:31:10.080 --> 0:31:12.240
<v Speaker 16>of those will be our customers and particularly our telco

0:31:12.280 --> 0:31:16.080
<v Speaker 16>customer base, to understand how we're serving them well and

0:31:16.560 --> 0:31:18.320
<v Speaker 16>what we can do to continue to serve them better

0:31:18.360 --> 0:31:20.240
<v Speaker 16>and drive growth the way I think about it is

0:31:20.240 --> 0:31:23.960
<v Speaker 16>we have a strong and broad portfolio today, some of

0:31:24.000 --> 0:31:26.560
<v Speaker 16>which is being touched by AI today. But I have

0:31:26.600 --> 0:31:28.600
<v Speaker 16>also The way I think about the AI cycle is

0:31:28.640 --> 0:31:31.160
<v Speaker 16>it will be a supercycle. And much like we saw

0:31:31.160 --> 0:31:34.240
<v Speaker 16>with the Internet, it spawned the mobile Internet, it spawned cloud,

0:31:34.640 --> 0:31:36.360
<v Speaker 16>I believe we'll see that same thing with AI.

0:31:37.840 --> 0:31:40.640
<v Speaker 2>As the AI Summit is underway in Paris, let's also

0:31:40.720 --> 0:31:44.000
<v Speaker 2>consider the future of AI safety regulations here in the

0:31:44.080 --> 0:31:47.120
<v Speaker 2>US under Trump. This just as a top official at

0:31:47.120 --> 0:31:50.600
<v Speaker 2>the USAI Safety Institute steps down, Let's bring in Bloomberg

0:31:50.640 --> 0:31:53.640
<v Speaker 2>Sharing Gafari for more. Sharen talk us through what this

0:31:53.720 --> 0:31:58.280
<v Speaker 2>agency was doing and how this departure potentially puts that

0:31:58.320 --> 0:31:59.280
<v Speaker 2>progress at risk.

0:32:00.120 --> 0:32:00.320
<v Speaker 9>Yeah.

0:32:00.360 --> 0:32:03.440
<v Speaker 17>So the USAI Safety Institute is relatively new, right, a

0:32:03.440 --> 0:32:06.360
<v Speaker 17>little over a year old, and its mandate was to

0:32:06.400 --> 0:32:10.959
<v Speaker 17>sort of try to convene some standards around what AI companies,

0:32:11.720 --> 0:32:13.240
<v Speaker 17>you know, are going to be, how they're going to

0:32:13.240 --> 0:32:15.680
<v Speaker 17>be testing their AI models to make sure that they're safe,

0:32:15.680 --> 0:32:19.640
<v Speaker 17>and also to test their capabilities. Now that Elizabeth Kelly,

0:32:20.080 --> 0:32:22.280
<v Speaker 17>the head of that institute, is stepped down and there's

0:32:22.360 --> 0:32:25.000
<v Speaker 17>no replacement announced, it's a little bit unclear what the

0:32:25.040 --> 0:32:26.880
<v Speaker 17>future of this institute will look.

0:32:26.760 --> 0:32:31.719
<v Speaker 3>Like just at the time that world leaders, indeed leaders

0:32:31.720 --> 0:32:34.840
<v Speaker 3>of companies gathered to talk about the future of AI,

0:32:35.040 --> 0:32:37.920
<v Speaker 3>of any sort of guardrail that Europe can agree with

0:32:37.960 --> 0:32:41.120
<v Speaker 3>the United States, It's a pretty pivotal movement. It feels

0:32:41.120 --> 0:32:42.760
<v Speaker 3>like Jade Vance is going to be speaking on it.

0:32:44.920 --> 0:32:45.400
<v Speaker 12>That's right.

0:32:45.520 --> 0:32:48.520
<v Speaker 17>So we have, you know, the US Vice President planning

0:32:48.560 --> 0:32:52.040
<v Speaker 17>to have a presence at this summit. But again, you

0:32:52.160 --> 0:32:54.120
<v Speaker 17>sort of in order to kind of get all these

0:32:54.120 --> 0:32:58.320
<v Speaker 17>companies together to give access to their models, to test them,

0:32:58.440 --> 0:33:02.280
<v Speaker 17>to see how safe each release is, you sort of

0:33:02.360 --> 0:33:04.720
<v Speaker 17>need I mean, I guess the argument for the USA

0:33:04.760 --> 0:33:07.560
<v Speaker 17>Safety Institute is that they said that you need some

0:33:08.000 --> 0:33:10.080
<v Speaker 17>entity to sort of actually be in the weeds doing

0:33:10.120 --> 0:33:12.560
<v Speaker 17>this work. And so who will be the leader of

0:33:12.600 --> 0:33:15.040
<v Speaker 17>this institute, what their priorities will be, what kind of

0:33:15.080 --> 0:33:18.880
<v Speaker 17>safety evaluations they will run, is critical beyond the kind

0:33:18.880 --> 0:33:22.200
<v Speaker 17>of executive level that we see Jbvance taking leadership on.

0:33:22.720 --> 0:33:26.520
<v Speaker 3>Well said Sharin Vifari's great reporting as ever, thank you. Meanwhile,

0:33:26.560 --> 0:33:28.479
<v Speaker 3>as governments and companies around the world, as we say,

0:33:28.520 --> 0:33:31.960
<v Speaker 3>announced plans to build or expan AI infrastructure, another question is.

0:33:32.000 --> 0:33:34.160
<v Speaker 4>Being raised, how are they going to power it all.

0:33:34.520 --> 0:33:37.000
<v Speaker 3>Joseph miket Is with US is the director of Energy

0:33:37.000 --> 0:33:39.160
<v Speaker 3>Security and Climate Change over at the Central Strategic and

0:33:39.200 --> 0:33:40.120
<v Speaker 3>International Studies.

0:33:40.480 --> 0:33:43.200
<v Speaker 4>And look, it's so interesting in this moment that France.

0:33:42.960 --> 0:33:45.400
<v Speaker 3>Is going to be committing, we understand, to a gigawat

0:33:45.400 --> 0:33:49.320
<v Speaker 3>of nuclear energy for this AI exuberant moment. You've got

0:33:49.440 --> 0:33:53.560
<v Speaker 3>leaders of Microsoftware indeed Andy Jasse just last week saying

0:33:53.960 --> 0:33:57.600
<v Speaker 3>it's all about energy that stops us building out data centers. Joseph,

0:33:57.840 --> 0:34:00.120
<v Speaker 3>what are we not getting about energy needs here?

0:34:01.480 --> 0:34:04.120
<v Speaker 18>Well, you know, a data center is nothing more than

0:34:04.520 --> 0:34:07.240
<v Speaker 18>a bunch of chips and racks that will take models, data,

0:34:07.480 --> 0:34:12.600
<v Speaker 18>use algorithms to cook together intelligence, answer questions, help people

0:34:12.680 --> 0:34:17.360
<v Speaker 18>perform economically productive activities. Energy is the flame that powers

0:34:17.360 --> 0:34:20.480
<v Speaker 18>that process. Electricity in particular, and when we look at

0:34:20.560 --> 0:34:24.920
<v Speaker 18>what the leading hyperscalers and companies want to build, these

0:34:24.920 --> 0:34:27.000
<v Speaker 18>are immediately going to be some of the largest electricity

0:34:27.040 --> 0:34:30.480
<v Speaker 18>loads in the United States and probably the largest class

0:34:30.520 --> 0:34:34.960
<v Speaker 18>of new generation capacity adding over the next five to

0:34:35.000 --> 0:34:36.719
<v Speaker 18>ten years.

0:34:36.520 --> 0:34:39.160
<v Speaker 2>So there is a real question about just how much

0:34:39.320 --> 0:34:42.080
<v Speaker 2>the electricity grid can actually withstand.

0:34:42.520 --> 0:34:44.000
<v Speaker 4>What do we know about.

0:34:43.680 --> 0:34:45.800
<v Speaker 2>What buy in we need at the local level, because

0:34:45.800 --> 0:34:47.560
<v Speaker 2>a lot of these plans are coming from the federal

0:34:47.640 --> 0:34:50.000
<v Speaker 2>level and it's not clear to me that do they

0:34:50.040 --> 0:34:56.920
<v Speaker 2>actually need more permission or perhaps collaboration with municipalities states.

0:34:58.760 --> 0:35:01.560
<v Speaker 12>So it's important think about the size of the challenge.

0:35:01.920 --> 0:35:04.600
<v Speaker 18>We need to even to hit sort of medium level

0:35:05.000 --> 0:35:07.600
<v Speaker 18>forecast for how much data center energy we're going to

0:35:07.640 --> 0:35:09.840
<v Speaker 18>need over the next five years, we need to build

0:35:09.840 --> 0:35:13.279
<v Speaker 18>more generation capacity over that next five years, then we

0:35:13.320 --> 0:35:15.960
<v Speaker 18>added over the last twenty. It's just a muscle memory

0:35:15.960 --> 0:35:18.840
<v Speaker 18>that in the United States we don't really have and

0:35:18.880 --> 0:35:21.920
<v Speaker 18>that involves everyone from the state and local permitting committees,

0:35:21.920 --> 0:35:24.840
<v Speaker 18>from local utilities, and there is a role for the

0:35:24.840 --> 0:35:29.520
<v Speaker 18>federal government in providing some backstops, some funding, perhaps some

0:35:29.560 --> 0:35:33.520
<v Speaker 18>permitting reform help so that we can get the speed

0:35:34.040 --> 0:35:36.200
<v Speaker 18>or we can get power to these data centers with

0:35:36.320 --> 0:35:39.160
<v Speaker 18>enough speed. The reality is we don't just have a

0:35:39.200 --> 0:35:41.960
<v Speaker 18>bunch of gigawatt power plants lying around that are ready

0:35:41.960 --> 0:35:43.000
<v Speaker 18>to plug data centers into.

0:35:43.560 --> 0:35:47.480
<v Speaker 3>So give modifort tends to the current administration. Apologies stacking

0:35:47.719 --> 0:35:50.040
<v Speaker 3>entirely my fault give marks out of ten for the

0:35:50.080 --> 0:35:50.880
<v Speaker 3>current administration.

0:35:52.600 --> 0:35:56.680
<v Speaker 18>I think we need to see some more texture around

0:35:56.719 --> 0:35:59.360
<v Speaker 18>what the current administration wants to do. President Trump has

0:35:59.440 --> 0:36:02.360
<v Speaker 18>said we are going to open up all the breaks

0:36:02.400 --> 0:36:05.520
<v Speaker 18>in terms of permitting. We're going to look even to

0:36:05.600 --> 0:36:08.120
<v Speaker 18>coal plants to rebuild these kinds of things. I think

0:36:08.160 --> 0:36:10.560
<v Speaker 18>what's really important is what's going to match what the

0:36:10.640 --> 0:36:13.280
<v Speaker 18>hyperscalers and the companies want to do, and what matches

0:36:13.320 --> 0:36:14.800
<v Speaker 18>what's going on in the power sector.

0:36:14.840 --> 0:36:15.120
<v Speaker 6>Now.

0:36:15.400 --> 0:36:17.359
<v Speaker 18>When we look at what we expect to see over

0:36:17.400 --> 0:36:20.080
<v Speaker 18>the next few years, the real additions are going to

0:36:20.120 --> 0:36:24.040
<v Speaker 18>be solar, maybe some wind batteries, natural gas. I think

0:36:24.080 --> 0:36:26.400
<v Speaker 18>the administration is in a position to help some of

0:36:26.440 --> 0:36:29.000
<v Speaker 18>that proceed. Then we need to look at long term

0:36:29.040 --> 0:36:31.600
<v Speaker 18>growth because this isn't the problem that ends in twenty

0:36:31.640 --> 0:36:35.680
<v Speaker 18>thirty when the first few mega sized data centers come Aliine,

0:36:35.920 --> 0:36:38.680
<v Speaker 18>if this is truly the economic revolution that the companies

0:36:38.719 --> 0:36:39.920
<v Speaker 18>are investing toward.

0:36:40.000 --> 0:36:43.359
<v Speaker 12>We need to have a much more ready.

0:36:43.120 --> 0:36:46.000
<v Speaker 18>System for further growth in the twenty thirties and there

0:36:46.160 --> 0:36:48.319
<v Speaker 18>I think we want to see the administration move toward

0:36:48.400 --> 0:36:51.680
<v Speaker 18>nuclear power. We need to see investments in modernizing our grid.

0:36:51.920 --> 0:36:53.600
<v Speaker 18>Those are going to be the key things for long

0:36:53.680 --> 0:36:55.040
<v Speaker 18>term progress in the United States.

0:36:55.920 --> 0:36:58.759
<v Speaker 2>Joe, So, where does this leave climate goals, because when

0:36:58.800 --> 0:37:02.080
<v Speaker 2>I hear coal power plans, it seems like it's actually

0:37:02.120 --> 0:37:05.400
<v Speaker 2>taking a step back. And as you mentioned, hyperscalers are involved,

0:37:05.480 --> 0:37:09.240
<v Speaker 2>what are they going to be amenable to, especially because

0:37:09.280 --> 0:37:13.480
<v Speaker 2>they have net zero goals themselves. You look at climate security,

0:37:13.680 --> 0:37:16.640
<v Speaker 2>this is not just a story about the environment, but

0:37:16.680 --> 0:37:19.160
<v Speaker 2>it's one that has to do with national security. Talk

0:37:19.200 --> 0:37:20.760
<v Speaker 2>to us about where it leaves as goals.

0:37:21.920 --> 0:37:24.440
<v Speaker 18>Of course, there's a lot of considerations that we need

0:37:24.480 --> 0:37:27.319
<v Speaker 18>to think about, especially as the government gets involved trying

0:37:27.360 --> 0:37:30.640
<v Speaker 18>to support these megaprojects. I suspect that we're not going

0:37:30.680 --> 0:37:32.759
<v Speaker 18>to see new coal plants build the United States to

0:37:32.800 --> 0:37:35.399
<v Speaker 18>power data centers. Instead, where we want to see those

0:37:35.440 --> 0:37:38.160
<v Speaker 18>hyperscalers want to see investments in clean energy. One of

0:37:38.200 --> 0:37:41.480
<v Speaker 18>the things that is most helpful in that regard is

0:37:41.520 --> 0:37:44.440
<v Speaker 18>that they're pretty deep pocketed and they need to spend

0:37:44.719 --> 0:37:47.240
<v Speaker 18>to build power quickly, but they also want to spend

0:37:47.239 --> 0:37:50.000
<v Speaker 18>and can make investments in the novel technologies that will

0:37:50.040 --> 0:37:52.160
<v Speaker 18>allow us to grow this stuff over time. That could

0:37:52.200 --> 0:37:57.279
<v Speaker 18>be small modular reactors. We've already seen them restarting large

0:37:57.360 --> 0:38:00.640
<v Speaker 18>nuclear actors here in the United States, and so the

0:38:00.640 --> 0:38:04.040
<v Speaker 18>reality of the system today is the more we build,

0:38:04.239 --> 0:38:05.600
<v Speaker 18>the easier we make it to.

0:38:05.560 --> 0:38:07.240
<v Speaker 12>Build, the cleaner and cleaner.

0:38:07.280 --> 0:38:10.560
<v Speaker 18>I think this process is going to be for us.

0:38:10.239 --> 0:38:13.719
<v Speaker 2>What's the breakdown of what that share can look like?

0:38:13.760 --> 0:38:16.880
<v Speaker 2>Because we've heard about nuclear energy kind of for a

0:38:16.920 --> 0:38:20.120
<v Speaker 2>long time, and I would like to kind of get

0:38:20.120 --> 0:38:23.640
<v Speaker 2>a better sense of what the horizon actually looks like.

0:38:23.800 --> 0:38:26.239
<v Speaker 2>Is it a five year or ten year kind of initiative?

0:38:27.560 --> 0:38:28.880
<v Speaker 12>We move really really fast.

0:38:28.920 --> 0:38:32.640
<v Speaker 18>I think we can make both grade upgrades and nuclear

0:38:32.680 --> 0:38:35.799
<v Speaker 18>power a part of the solution set early in the

0:38:35.800 --> 0:38:38.200
<v Speaker 18>twenty thirties, but a lot of that stuff is still

0:38:38.200 --> 0:38:39.760
<v Speaker 18>a little bit far from commercialization.

0:38:39.840 --> 0:38:42.759
<v Speaker 12>It'll take us time to get there. Over the next

0:38:42.760 --> 0:38:43.360
<v Speaker 12>few years.

0:38:43.480 --> 0:38:46.200
<v Speaker 18>I don't expect to see much difference in the capacity

0:38:46.200 --> 0:38:48.760
<v Speaker 18>that's added from what's been added historically. The US builds

0:38:48.800 --> 0:38:52.120
<v Speaker 18>a lot of solar, the US has large natural gas resources,

0:38:52.560 --> 0:38:54.839
<v Speaker 18>and the investments we are seeing over the last year

0:38:54.840 --> 0:38:56.480
<v Speaker 18>and the things we expect to see over the next

0:38:56.480 --> 0:38:59.040
<v Speaker 18>couple of years are going to combine those two things.

0:38:59.040 --> 0:39:02.879
<v Speaker 18>Combine those two as principally with some battery storage and

0:39:02.920 --> 0:39:06.080
<v Speaker 18>some investments in green energy and other places to ban

0:39:06.320 --> 0:39:10.400
<v Speaker 18>to manage both the emergent power need, the need for stability.

0:39:10.440 --> 0:39:12.440
<v Speaker 18>You want to run these facilities basically all the time

0:39:12.480 --> 0:39:14.840
<v Speaker 18>once you've made such a large investment in the underlying

0:39:14.920 --> 0:39:19.640
<v Speaker 18>chips and data, and then dealing with the climate effects

0:39:19.680 --> 0:39:21.799
<v Speaker 18>by making investments in renewables and other things.

0:39:22.719 --> 0:39:26.320
<v Speaker 2>That's Joseph Market from the Center for Strategic and International Studies.

0:39:26.360 --> 0:39:30.600
<v Speaker 2>Thanks for joining us.

0:39:35.200 --> 0:39:37.040
<v Speaker 3>Just take a look at shares of t Mobile right now.

0:39:37.120 --> 0:39:39.040
<v Speaker 3>Stock as you'll see, is up today. The telecom provider

0:39:39.080 --> 0:39:42.280
<v Speaker 3>has officially launched its service with the law Musk's Starlin Network,

0:39:42.560 --> 0:39:45.720
<v Speaker 3>softwering customers texting and data usage completely off the grid

0:39:46.000 --> 0:39:48.760
<v Speaker 3>at the low promotional price of zero dollars.

0:39:48.920 --> 0:39:49.759
<v Speaker 4>It's free for now.

0:39:49.840 --> 0:39:52.120
<v Speaker 3>The offer is open to anyone for a limited time,

0:39:52.160 --> 0:39:55.320
<v Speaker 3>with the service eventually costing fifteen dollars a month. Tmobile

0:39:55.360 --> 0:39:58.759
<v Speaker 3>announced the program on Sunday with an ad debut during

0:39:58.880 --> 0:40:00.200
<v Speaker 3>the Super Bowl Jackie.

0:40:00.960 --> 0:40:02.880
<v Speaker 2>For more on the Super Bowl and how the NFL

0:40:03.000 --> 0:40:06.600
<v Speaker 2>is dominating entertainment, Bloomberg's f Lucas Shaw joins us. Now

0:40:07.120 --> 0:40:10.840
<v Speaker 2>Lucas viewership of almost everything on TV has plummeted, but

0:40:11.000 --> 0:40:14.840
<v Speaker 2>somehow the NFL's has just gotten bigger. Help us understand

0:40:14.880 --> 0:40:17.520
<v Speaker 2>this resilience because it's not every day that we're all

0:40:17.560 --> 0:40:20.000
<v Speaker 2>tuning into a nail bier like last night.

0:40:20.920 --> 0:40:23.720
<v Speaker 9>Oh yeah, that was not the game that the NFL wanted.

0:40:24.680 --> 0:40:24.920
<v Speaker 12>You know.

0:40:25.640 --> 0:40:27.640
<v Speaker 9>Part of it is just live in sports, right.

0:40:27.680 --> 0:40:31.320
<v Speaker 19>You look at the television business and as the ratings

0:40:31.400 --> 0:40:35.719
<v Speaker 19>for scripted shows has gone down, you know, sports has

0:40:35.719 --> 0:40:39.640
<v Speaker 19>stayed pretty resilient, whether that's football, baseball, basketball. Football has

0:40:39.680 --> 0:40:43.040
<v Speaker 19>been much stronger and gotten much bigger than basketball and baseball.

0:40:43.280 --> 0:40:45.680
<v Speaker 19>I think part of it is that there are so

0:40:45.800 --> 0:40:48.520
<v Speaker 19>few games, this idea of scarcity, right, so every game

0:40:48.560 --> 0:40:50.920
<v Speaker 19>in the football season matters in the way that whatever

0:40:51.080 --> 0:40:53.560
<v Speaker 19>NBA games are happening this week don't really.

0:40:54.040 --> 0:40:55.960
<v Speaker 9>And then the I don't know, the product is just

0:40:56.000 --> 0:40:56.439
<v Speaker 9>really good.

0:40:56.480 --> 0:40:58.879
<v Speaker 19>You know, there was a moment six eight years ago

0:40:58.920 --> 0:41:00.840
<v Speaker 19>where the NFL looked like it was a little shaky,

0:41:00.880 --> 0:41:03.400
<v Speaker 19>The ratings were going down. There were a lot of

0:41:03.400 --> 0:41:05.759
<v Speaker 19>different reasons for that, and it has fully rebounded.

0:41:06.520 --> 0:41:09.040
<v Speaker 3>So interesting in those times that maybe we were questioning

0:41:09.600 --> 0:41:12.160
<v Speaker 3>ESPN had at the time, John Skipper, you write in

0:41:12.200 --> 0:41:15.439
<v Speaker 3>your newsletter, was actually trying to persuade Bobyger to get

0:41:15.480 --> 0:41:17.760
<v Speaker 3>out of the NFL, go bigger, on other sports.

0:41:17.800 --> 0:41:19.959
<v Speaker 4>But good thing Bobbiger ignored.

0:41:19.680 --> 0:41:21.920
<v Speaker 3>Him, and a lot of it is about content and

0:41:21.960 --> 0:41:24.960
<v Speaker 3>about knowing the people. It's almost like you're following some

0:41:24.960 --> 0:41:28.040
<v Speaker 3>sort of real life, real life celebrity culture here.

0:41:29.080 --> 0:41:30.680
<v Speaker 19>Yeah, I mean, I thought that was a really interesting

0:41:30.719 --> 0:41:33.080
<v Speaker 19>story that John Skipper told me. He was the head

0:41:33.080 --> 0:41:37.359
<v Speaker 19>of ESPN for a long time, really brilliant executive, and

0:41:37.520 --> 0:41:39.719
<v Speaker 19>he had the same feeling I think that I did

0:41:39.760 --> 0:41:41.880
<v Speaker 19>several years ago, which was he saw all the bad

0:41:41.920 --> 0:41:45.760
<v Speaker 19>news around concussions and thought, Okay, this sport is unsafe.

0:41:45.760 --> 0:41:47.759
<v Speaker 19>It's going to be on the decline. Turns out most

0:41:47.800 --> 0:41:51.680
<v Speaker 19>Americans do not care. And to your point about celebrity,

0:41:51.680 --> 0:41:54.160
<v Speaker 19>they're way more interested in Patrick Mahomes or in the

0:41:54.200 --> 0:41:55.879
<v Speaker 19>Taylor Swift of it all. I mean, what a couple

0:41:55.920 --> 0:41:58.000
<v Speaker 19>of the emails I got from readers last night were

0:41:58.000 --> 0:42:00.239
<v Speaker 19>that I did not give Taylor Swift enough credit for

0:42:00.280 --> 0:42:02.280
<v Speaker 19>the current popularity of the NFL.

0:42:02.480 --> 0:42:05.239
<v Speaker 3>And sadly she probably wasn't that exuberant after last night.

0:42:05.800 --> 0:42:09.920
<v Speaker 3>More love being shown for the halftime performances as well.

0:42:09.920 --> 0:42:11.839
<v Speaker 3>But they make some big bets on when to play

0:42:11.880 --> 0:42:14.000
<v Speaker 3>shows right, like Christmas Day for example.

0:42:14.719 --> 0:42:19.040
<v Speaker 19>Yeah, I mean, look, the NFL has gradually expanded its

0:42:19.080 --> 0:42:20.640
<v Speaker 19>control over the schedule.

0:42:20.640 --> 0:42:21.440
<v Speaker 9>It used to be that the.

0:42:21.480 --> 0:42:24.200
<v Speaker 19>NFL was primarily a Sunday product, and then there was

0:42:24.239 --> 0:42:27.840
<v Speaker 19>Monday Night Football. They added Thursday Night Football, which is

0:42:27.880 --> 0:42:30.040
<v Speaker 19>now on Amazon. I think they're very happy with that

0:42:30.120 --> 0:42:33.360
<v Speaker 19>because Amazon helps them reach more viewers get into streaming,

0:42:33.400 --> 0:42:35.560
<v Speaker 19>and they can also prime Amazon to maybe bid on

0:42:35.600 --> 0:42:38.040
<v Speaker 19>some international rights that they'll sell down the line. They

0:42:38.120 --> 0:42:40.680
<v Speaker 19>started to have more games on Saturday. I think there's

0:42:40.719 --> 0:42:44.120
<v Speaker 19>an expectation that eventually, because they're playing games and other markets,

0:42:44.120 --> 0:42:46.400
<v Speaker 19>that they might create sort of a new window early

0:42:46.480 --> 0:42:48.200
<v Speaker 19>Sunday morning, and that's the type of thing that they

0:42:48.280 --> 0:42:49.400
<v Speaker 19>might chop to a Netflix.

0:42:50.160 --> 0:42:52.200
<v Speaker 9>So yeah, NFL is now five months long.

0:42:53.080 --> 0:42:56.000
<v Speaker 3>Lucas Shaw all over NFL this week, And even if

0:42:56.000 --> 0:42:57.879
<v Speaker 3>you're not watching it that much yourself, what does it

0:42:58.080 --> 0:43:00.960
<v Speaker 3>for this edition of Blue Bag Technology, don't forget to

0:43:01.040 --> 0:43:02.279
<v Speaker 3>check out our podcasts. You can find it on the

0:43:02.320 --> 0:43:04.560
<v Speaker 3>terminal as well as online on Apples, Spotify, and iHeart.

0:43:04.719 --> 0:43:07.480
<v Speaker 4>This is vloume leg Technology